Recognition and Optimization Algorithm of MNIST Dataset Based on LeNet5 Network Structure
Hailong Xi, Haiyan Liu, Yu Zhang
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.52How to use a DOI?
- LeNet5 network, MNIST data set, optimization function.
- This paper analyzes the content composition and detailed structure of the MNIST dataset, introduces the overall level of the traditional LeNet5 network, and proposes an improved algorithm for its hidden layer, optimization function, activation function, etc. of the network layer structure. Optimization, and the effectiveness of the algorithm is verified by experiments. This paper has certain reference value for traditional neural network optimization and improving the correct classification rate of MNIST data sets.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hailong Xi AU - Haiyan Liu AU - Yu Zhang PY - 2018/12 DA - 2018/12 TI - Recognition and Optimization Algorithm of MNIST Dataset Based on LeNet5 Network Structure BT - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SP - 322 EP - 328 SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.52 DO - https://doi.org/10.2991/tlicsc-18.2018.52 ID - Xi2018/12 ER -